Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved]
Introduction Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple t...
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2025-01-01
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| author | Rajagopal Kadavigere Obhuli Chandran M Kaushik Nayak Abhijith S Saikiran Pendem Varsha Raghu Shailesh Nayak S Riyan Mohamed Sajer Tancia Pires Priyanka - |
| author_facet | Rajagopal Kadavigere Obhuli Chandran M Kaushik Nayak Abhijith S Saikiran Pendem Varsha Raghu Shailesh Nayak S Riyan Mohamed Sajer Tancia Pires Priyanka - |
| author_sort | Rajagopal Kadavigere |
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| description | Introduction Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging. Methods Database searches were performed through PubMed, Embase, Scopus, Web of science to identify relevant articles focusing on the application of MR finger printing in the adult brain. We utilized the preferred reporting items for systematic reviews and meta-analysis guidelines to extract data from the selected studies. Results Nine articles were included in the final review, with a total sample size of 332 participants. In healthy brains, notable regional, sex, age, and hemispheric variations were identified, particularly in the corpus callosum and thalamus. MRF effectively differentiated meningioma subtypes, glioma grades, and IDH mutation status, with T2 values providing particularly predictive for glioma classification. In brain metastases, significant relaxometry differences were noted between normal and lesional tissues. For multiple sclerosis, MRF values correlated with clinical and disability measures, distinguishing relapsing-remitting secondary progressive forms. In traumatic brain injury, longitudinal T1 changes strongly correlated with clinical recovery, surpassing T2 values. Conclusions The systematic review highlighted MRD as a groundbreaking technique that enhances neurological diagnosis by simultaneously quantifying T1 and T2 relaxation times. With reduced acquisition times, MRF outperforms conventional MRI in detecting subtle pathologies, distinguishing properties, and providing reliable biomarkers. |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-a458562be69d42d28bcfc6dd6d639a7e2025-01-21T01:00:03ZengF1000 Research LtdF1000Research2046-14022025-01-0114175906Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved]Rajagopal Kadavigere0Obhuli Chandran M1https://orcid.org/0000-0001-5515-6377Kaushik Nayak2Abhijith S3https://orcid.org/0000-0003-2726-1721Saikiran Pendem4https://orcid.org/0000-0001-7933-1192Varsha Raghu5https://orcid.org/0009-0001-7447-5290Shailesh Nayak S6https://orcid.org/0000-0001-6548-8092Riyan Mohamed Sajer7Tancia Pires8https://orcid.org/0009-0002-8838-8953Priyanka -9https://orcid.org/0000-0002-9792-6242Department of Radio Diagnosis and Imaging, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaDepartment of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaIntroduction Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging. Methods Database searches were performed through PubMed, Embase, Scopus, Web of science to identify relevant articles focusing on the application of MR finger printing in the adult brain. We utilized the preferred reporting items for systematic reviews and meta-analysis guidelines to extract data from the selected studies. Results Nine articles were included in the final review, with a total sample size of 332 participants. In healthy brains, notable regional, sex, age, and hemispheric variations were identified, particularly in the corpus callosum and thalamus. MRF effectively differentiated meningioma subtypes, glioma grades, and IDH mutation status, with T2 values providing particularly predictive for glioma classification. In brain metastases, significant relaxometry differences were noted between normal and lesional tissues. For multiple sclerosis, MRF values correlated with clinical and disability measures, distinguishing relapsing-remitting secondary progressive forms. In traumatic brain injury, longitudinal T1 changes strongly correlated with clinical recovery, surpassing T2 values. Conclusions The systematic review highlighted MRD as a groundbreaking technique that enhances neurological diagnosis by simultaneously quantifying T1 and T2 relaxation times. With reduced acquisition times, MRF outperforms conventional MRI in detecting subtle pathologies, distinguishing properties, and providing reliable biomarkers.https://f1000research.com/articles/14-54/v1MR Finger printing Glioma grades Meningioma Multiple sclerosis Brain trauma IDH mutationeng |
| spellingShingle | Rajagopal Kadavigere Obhuli Chandran M Kaushik Nayak Abhijith S Saikiran Pendem Varsha Raghu Shailesh Nayak S Riyan Mohamed Sajer Tancia Pires Priyanka - Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved] F1000Research MR Finger printing Glioma grades Meningioma Multiple sclerosis Brain trauma IDH mutation eng |
| title | Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved] |
| title_full | Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved] |
| title_fullStr | Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved] |
| title_full_unstemmed | Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved] |
| title_short | Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review [version 1; peer review: 2 approved] |
| title_sort | applications of mr finger printing derived t1 and t2 values in adult brain a systematic review version 1 peer review 2 approved |
| topic | MR Finger printing Glioma grades Meningioma Multiple sclerosis Brain trauma IDH mutation eng |
| url | https://f1000research.com/articles/14-54/v1 |
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